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@camenduru is back under an org we are bracing for even more virality https://
huggingface.co/spaces/camendu
ru-com/webui
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Camenduru Returns with AI WebUI Tool Under Organization
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Facial Emotion Recognition with VGG13 and FER+ Dataset
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🚀Blog-tastic Tuesdays🚀https://t.co/46uGOucL1F
— Satya Mallick (@LearnOpenCV) 22 août 2023
Our research article dives deep into the interdisciplinary nature of Facial Emotion Recognition (FER), bridging Computer Vision, Machine Learning, and Psychology. It explores a custom VGG13 model and the FER+ dataset to create a… pic.twitter.com/hs9Q4aShVqBlog-tastic Tuesdays https://
learnopencv.com/facial-emotion
-recognition/
… Our research article dives deep into the interdisciplinary nature of Facial Emotion Recognition (FER), bridging Computer Vision, Machine Learning, and Psychology. It explores a custom VGG13 model and the FER+ dataset to create a -
Limitations of Synthetic User Responses and API Constraints
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what are the limitations of generating synthetic user responses? API limits an issue?
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Web scraping and model training data integration discussion
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i'll wget your post into my model's training data.
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ChatGPT vs ReST: A New Approach
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ChatGPT was trained using RLHF, while Google, through its DeepMind entity, proposes an alternative approach called ReST—and this could significantly accelerate many processes. Paper link here: https://arxiv.org/pdf/2308.08998.pdf
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Communication and Teamwork Skills in Software Engineering
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Quite a bit of software engineering is about communication, working with others, etc. So, I didn't explicitly say that, but for clarity: being good at working in a team, discussing approaches with others, motivating people about why something is important, etc. are all important.
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Building Systems for ML: Storage, Compilers, and IR Design
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storage systems, compilers, … all will be useful. A talk I gave at Stanford a while back has some material on this (although focuses on building systems in the context of more traditional IR systems rather than ML systems).
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Software Engineering Skills Essential for ML Systems Development
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I think there's a lot of benefit in general software engineering and computer systems skills for people doing ML engineering. ML systems are often part of a larger system, so understanding good SW engineering practices, networking, performance engineering, OSes, …
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Low-level debugging cognitive load and system complexity
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Drained from a weekend of painstaking low-level debugging. Fixed the bugs, but takes a surprising amount of energy to sustain focus on nitty-gritty details while many keeping many potentially-interacting pieces of the system loaded into your head at once.
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AudioCraft: Unified Audio Modeling Solution for AI
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AudioCraft: A simple one-stop shop for audio modeling https://
bit.ly/3Kt8Bby #AI #MachineLearning #DeepLearning #LLMs #DataScience